RT Book, Section
T1 An EEG-Based Brain-Machine Interface to Control a 7-Degrees of Freedom Exoskeleton for Stroke Rehabilitation
A1 Sarasola-Sanz, A.
A1 López-Larraz, E.
A1 Irastorza-Landa, N.
A1 Klein, J.
A1 Valencia, D.
A1 Belloso, A.
A1 Morin, F. O.
A1 Spüler, M.
A1 Birbaumer, N.
A1 Ramos-Murguialday, A.
AB Brain machine interfaces (BMIs) have previously been utilized to control rehabilitation robots with promising results. The design and development of more dexterous and user-friendly rehabilitation platforms is the next challenge to be tackled. We built a novel platform that uses an electro-encephalograpy-based BMI to control a multi-degree of freedom exoskeleton in a rehabilitation framework. Its applicability to a clinical scenario is validated here with six healthy subjects and a chronic stroke patient using motor imagery and movements attempts. Therefore, this study presents a potential system to carry out fully-featured motor rehabilitation therapies.
PB Springer International Publishing
SN 2195-3562
YR 2017
FD 2017
LK https://hdl.handle.net/11556/1474
UL https://hdl.handle.net/11556/1474
LA eng
NO Sarasola-Sanz , A , López-Larraz , E , Irastorza-Landa , N , Klein , J , Valencia , D , Belloso , A , Morin , F O , Spüler , M , Birbaumer , N & Ramos-Murguialday , A 2017 , An EEG-Based Brain-Machine Interface to Control a 7-Degrees of Freedom Exoskeleton for Stroke Rehabilitation . in Biosystems and Biorobotics . Biosystems and Biorobotics , vol. 15 , Springer International Publishing , pp. 1127-1131 . https://doi.org/10.1007/978-3-319-46669-9_183
NO Publisher Copyright: © Springer International Publishing AG 2017.
NO Acknowledgments This study was funded by the GRUENS, the NSFC 31450110072, the DFG-Koselleck and the BMBF MOTOR-BIC (FKZ 13GW0053). A. Sarasola-Sanz’s work is supported by the DAAD and N. Irastorza-Landa’s work by the Basque Government and IKERBASQUE.
DS TECNALIA Publications
RD 26 jul 2024